FutureScot
Education & Skills

HWU PhD student combines tech and ancient tracking to help save the cheetah

A life scientist from the School of Energy, Geoscience, Infrastructure and Society at Heriot Watt University is investigating whether technology can be combined with the ancient tracking skills of Namibian hunter-gatherers to help save the cheetah and, eventually, other endangered species. 

The research will determine whether the existing Footprint Identification Technique (FIT) can be adapted to find out if individual cheetahs are related. The technique could give wildlife conservationists a cheaper, quicker and non-invasive monitoring technique that will have applications across all endangered species.

Struggling to survive

Cheetahs in the wild are, like many species, struggling to survive. With numbers reduced from an estimated 100,000 at the start of last century to around 7,000 today, they are classed as ‘vulnerable’.

The project will concentrate on addressing the poor genetic variation of the cheetah, a problem that is often overlooked in conservation projects which instead focus on finding solutions for other important challenges including habitat loss, human-wildlife conflict and the pet trade.

The lack of genetic variability among the species leads to inbreeding and health problems, ultimately resulting in a further decline of the population.

Using FIT tech to identify cheetahs

Traditional means of establishing genetic relationships between cheetahs are invasive, time consuming and expensive, including DNA analysis from tissue samples such as blood, hair, stool or saliva.

Larissa Slaney, a PhD student from Heriot-Watt University, is examining whether the Footprint Identification Technique (FIT) can be adapted to find out if individual cheetahs are related.

Larissa said: “By analysing digital images of their footprints and using some of the knowledge of native trackers, the FIT technology, developed by WildTrack, can already identify cheetahs and other species at the individual, sex and age-class level with more than 90% accuracy.

“First indications suggest that the current technology is picking up something about the relatedness of individual cheetahs. However, this crucial research project will help develop a new algorithm for FIT and improve its accuracy so it will hopefully be able to determine the relationship between individual cheetahs.

“This method can then be used in population monitoring and is particularly important in relocation cases to avoid inbreeding between related cheetahs.

Read footprints “like a book”

“The San bushmen are renowned for their incredible tracking skills and can read a footprint like a book. If we can preserve that knowledge in the form of the cutting-edge FIT technology, it will offer invaluable support in the conservation of these amazing, vulnerable animals and hopefully other endangered species too.”

To help to further develop and test the FIT software, Larissa needs to collect footprints and DNA from a captive cheetah population, analyse both and compare the results. Larissa is working with the N/a’an ku se Foundation, a conservation charity in Namibia, that will give her access to a large group of cheetahs. In addition, Larissa will work with zoos that hold other subspecies.

Larissa continues, “Everyone loves cheetahs, but most people don’t realise that this beautiful species is in trouble. I have chosen science crowdfunding to raise awareness and to get the public involved in helping the cheetah.”

“If we can demonstrate that the FIT technique can be adapted to provide vital information on the interrelatedness of these increasingly rare animals, it will support their chance of survival and, hopefully, that of other endangered species as well.”

Related posts

Skills Development Scotland and Atos host cyber security event in Forres

Will Peakin
March 9, 2018

Scotland’s AgriTech boosted by £2m investment in digital centre of excellence

Will Peakin
December 12, 2017

Scottish pupils to learn about dangers of biased data to help tackle inequality

Poppy Watson
May 6, 2022
Exit mobile version